Search Results for author: Shanshan Ma

Found 5 papers, 0 papers with code

Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation

no code implementations12 Nov 2023 Behrouz Azimian, Shiva Moshtagh, Anamitra Pal, Shanshan Ma

Recently, we demonstrated success of a time-synchronized state estimator using deep neural networks (DNNs) for real-time unobservable distribution systems.

A SOCP-based ACOPF for Operational Scheduling of Three-phase Unbalanced Distribution Systems and Coordination of PV Smart Inverters

no code implementations12 Sep 2022 Mingyue He, Zahra Soltani, Mohammad Ghaljehei, Masoud Esmaili, Shanshan Ma, Mengxi Chen, Mojdeh Khorsand, Raja Ayyanar, Vijay Vittal

The results illustrate the effective-ness of the proposed ACOPF for unbalanced systems in provid-ing a global optimal solution while capturing the non-linearity and non-convexity of ACOPF.

Scheduling

Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems

no code implementations1 Jul 2022 Mengxi Chen, Shanshan Ma, Zahra Soltani, Raja Ayyanar, Vijay Vittal, Mojdeh Khorsand

This paper proposes a two-stage stochastic optimization strategy to optimally place the PV smart inverters with Volt-VAr capability for distribution systems with high photovoltaic (PV) penetration to mitigate voltage violation issues.

Stochastic Optimization

Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

no code implementations29 May 2021 Karen Montano-Martinez, Sushrut Thakar, Shanshan Ma, Zahra Soltani, Student Member, Vijay Vittal, Life Fellow, Mojdeh Khorsand, Raja Ayyanar, Senior Member, Cynthia Rojas, Member, IEEE

Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs).

Time Series Time Series Analysis

Stochastic Pre-Event Preparation for Enhancing Resilience of Distribution Systems with High DER Penetration

no code implementations24 Dec 2020 Qianzhi Zhang, Zhaoyu Wang, Shanshan Ma, Anmar Arif

This paper proposes a stochastic optimal preparation and resource allocation method for upcoming extreme weather events in distribution systems, which can assist utilities to achieve faster and more efficient post-event restoration.

Scheduling

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